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deHuBERT: Disentangling Noise in a Self-supervised Model for Robust
  Speech Recognition

deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition

28 February 2023
Dianwen Ng
Ruixi Zhang
J. Yip
Zhao Yang
Jinjie Ni
Chong Zhang
Yukun Ma
Chongjia Ni
E. Chng
B. Ma
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Papers citing "deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition"

3 / 3 papers shown
Title
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker
  Verification Loss for Noise Robustness
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness
Vikentii Pankov
Valeria Pronina
Alexander Kuzmin
Maksim Borisov
Nikita Usoltsev
Xingshan Zeng
Alexander Golubkov
Nikolai Ermolenko
Aleksandra Shirshova
Yulia Matveeva
21
2
0
16 Nov 2023
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra
  Contrastive Regularization
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Dianwen Ng
J. Yip
Tanmay Surana
Zhao Yang
Chong Zhang
Yukun Ma
Chongjia Ni
Chng Eng Siong
B. Ma
32
6
0
14 Sep 2022
A Noise-Robust Self-supervised Pre-training Model Based Speech
  Representation Learning for Automatic Speech Recognition
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition
Qiu-shi Zhu
Jie M. Zhang
Zi-qiang Zhang
Ming Wu
Xin Fang
Lirong Dai
115
39
0
22 Jan 2022
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